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4 дня назад

Product Data Analyst, International (Automotive)

56 000 - 79 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Data Analyst, International (Automotive) (SQL/Python): Building scalable data assets, automated dashboards, and experimentation capabilities for international automotive marketplaces with an accent on quantitative analysis, statistical rigor, and product analytics. Focus on guiding A/B testing, modeling clickstream data with dbt and LookML, and translating complex findings into decisions for senior leadership.

Location: Dublin, Ireland; flexible hybrid model. In-person interviews may be required for the Dublin office.

Salary: €56,000–€79,000 EUR annual base salary / OTE, with potential discretionary bonuses, incentives, and RSUs.

Company

hirify.global operates a large automotive marketplace that helps consumers and dealerships complete the online car-shopping journey.

What you will do

  • Conduct exploratory and empirical analyses across website usage, subscriptions, inventory, and other data sources.
  • Define business metrics and build automated dashboards for executive decision-making.
  • Guide product and engineering teams on A/B testing, tracking requirements, sample sizes, metrics, and statistical significance.
  • Build scalable data transformations and assets with Data Engineering, dbt, and LookML while improving clickstream architecture.
  • Partner with Product, Engineering, and Data teams to shape data-driven product features and international growth strategy.
  • Present complex quantitative findings and actionable recommendations to senior leadership.

Requirements

  • Bachelor’s or Master’s degree and 2+ years of experience in analytics or an analytics-adjacent field.
  • Expert fluency in SQL and experience with complex data modeling, quantitative analysis, and applied statistics.
  • Understanding of regression, significance testing, omitted variable bias, and independence/dependence.
  • Experience with Python, R, Stata, or SAS, plus strong written and verbal communication skills.
  • Proactive, self-directed approach with strong ownership, project planning, and cross-functional collaboration skills.
  • Hands-on experience using GenAI and agentic coding platforms such as Claude Code or Cursor.

Nice to have

  • Experience with Snowflake, Snowplow, dbt, Looker, Jira, or Salesforce.

Culture & Benefits

  • Flexible hybrid work model and robust time-off policies.
  • Equity for all employees, career development programs, and employee resource groups.
  • Daily free lunch, new car discount, meditation and fitness apps, and commuting cost coverage.
  • Inclusive, collaborative environment focused on curiosity, innovation, and work-life balance.

Hiring process

  • In-person interviews may be required for positions based in the Dublin office; candidates receive advance notice.
  • Travel expenses for required in-person interviews are the candidate’s responsibility.

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